Task scheduling plays a key role in cloud computing systems. Scheduling of tasks cannot be done on the basis of single criteria but under a lot of rules and regulations that we can term as an agreement between users and providers of cloud. This agreement is nothing but the quality of service that the user wants from the providers. Providing good quality of services to the users according to the agreement is a decisive task for the providers as at the same time there are a large number of tasks running at the providers side.

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The deep integration of renewable energy resources, together with solar photovoltaic system (PV) and wind turbine (WT) energy, principally rely on the cheap technological improvement of worldwide emissions and therefore the precise techniques for power quality. Grid-connected inverters act as key elements in distributed generation systems for last technology. The electrical converter connects the renewable energy sources and power distribution network systems for the conversion of power. In grid-connected systems, many current and voltage harmonics have an effect on the system performances. Likewise, extremely unstable devices plus the growing demand for nonlinear masses and renewable energy resources influence the ability networks and systems performance in terms of power quality. The effective solutions to those issues are active filters (PFs), static volt-ampere generators, and active power filters (APFs). However, the utilization of PFs during a high-voltage system will increase its price, size, and weight. This study aims to assess the foremost advanced APFs by reducing the amount of power switches and concentrate on the reduction of price, size, and weight of grid-connected inverters. Many studies compared and evaluated reduced-switch-count APF electrical converter topologies, like AC–AC, consecutive, and customary leg, beneath the single-phase and three-phase systems. Recently, efficient solutions to cut back the amount of elements, transformer less inverters, construction and multifunctional inverters supported the APF in PV, and wind energy conversion systems are greatly explored. The present techniques and their limitations for developing advanced inverter-based devices for renewable energy systems are mentioned with justifications. Therefore, this review would doubtless facilitate industrial researchers improve power quality in PV and WT energies and power distribution network systems.

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The agricultural sector is the backbone of Indian Economy contributing majorly to the countrys GDP. Indias food grain production reached around 275.88 million tonnes in the year 2017-18 and is estimated to reach 278.55 million tonnes in 2018-19. As on February 2018, it is estimated that over 58% of rural Indians depends on agriculture for their livelihood and this sector contributes around 17-18% to the countrys GDP. As per the 2014 FAO , world agriculture statistics India is the worlds largest producer of many fresh fruits like banana, mango, guava, papaya, lemon and vegetables like chickpea, okra and milk, major spices like chili pepper, ginger, fibrous crops such as jute, staples such as millets and castor oil seed. India is standing as a largest producer of wheat and rice and contributes 20% of the world total rice needs. In spite of these large numbers, food production still does not meet the needs of population. The successful operation of pre and post-harvest technologies is essential towards the food availability and security worldwide. The grain harvesting is a combined process which incorporates the various harvesting processes such as gathering, drying, threshing, separation and cleaning, etc., particularly drying and threshing are the most important function. Countries like India are blessed with abundant solar energy and it is a large sources for meeting energy demand without putting adverse impact of environment. Biomass energy is also employed as auxiliary heating source due to its availability and cost effectiveness in rural areas. This paper describes about the design and performance assessment of a low cost solar powered grain dryer with dehusking system for post harvesting technologies. In the proposed prototype model, drying chamber serves as the first stage with a solar collector to convert the energy of the sun rays into heat with the help of transparent top of the drying tunnel, which increases the temperature of the drying air, blower will move the air through the drying tunnel, inflate the tunnel, and take out the moisture content from the grains placed inside the chamber. The whole dehusking mechanism consists of a solar panel, a rechargeable battery and a charge controller to generate electricity that drives a worm gear motor. The complete system was designed for small to medium scale agro-processors in a way to reduce post-harvest expenditures and also to improve the product quality.

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Presently in the modern world, the innovation is going enormous increasing day by day. As much as the innovation builds, the requirement for security is substantially more. In India the data innovation is the best thing to execute security of such significant things. This paper will talk about the usage of OCR method to utilize authenticate watermark and logo of the paper. As the documents are called "legal document" There is some identification or mark technique used to make document legal. And this can be the secured reason to identify the original or genuine document. The OCR technique is used to recognize text printed on document/image where as in India some of us follows watermark to protect our document. The Paper OCR technique is going to develop to authenticate genuine paper or document in order to prevent frauds.

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Low light imaging is a challenge of cameras because of low photon counts and low signal to noise ratio. In case of low lighting taking an image becomes more challenging and complex. Generally all camera supports low light imaging but not all images result are good because they mostly uses traditional pipeline. Traditional Pipelining performs various processing such as Histogram Processing or scaling but it does not resolve the low SNR because of low photon counts. And generally short exposure images suffers from noise, while long exposure images may induce blur due to camera shake or Object motion and is often impractical. There are many different types of techniques like denoising, deblurring and image enhancement which are already proposed but all these techniques have a certain limits that the images are take in dim environment but they cannot give better result in extremely low light. In this paper we have proposed a learning based pipeline which uses Artificial intelligence to train his neurons to improve the learning, which can see in extremely low lighting. In this paper we are introducing a dataset of raw short-exposure low light images to correspond with images of long exposure time.

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In a modern democracy it is vital to have total participation of its citizen in electoral process. Many nations have electronic and internet based voting system that will enhance the involvement of its citizens in the process. The problem with the voting system is that it can be breached and manipulated by power hungry political outfits. There are existing systems which are electronic tamper proof and resilient systems that avoid tampering with electoral process. It is desirable to have internet based polling system to achieve totality in election process for abroad citizens. The electoral agency spends lot of exchequer money to conduct free and fair elections in the nation. However it is also observed that all do not participate in the process. In order to have total inclusion of its citizen in a tamper less manner, it very crucial to have an electronic and web based electoral process. The market value of such systems is very high and runs in billions of the dollars. The system proposed here is intended to adequately address the cost factor, transparency and enhanced trust in the electoral process. The proposed system incorporated the aplomb uses Blockchain technology to make voting process more transparent and secured. The system uses current technology such like client server authentication integrated with a Blockchain to ensure the important aspects such as transparency, security and inspection that ensures privacy for voters. Particularly, Ethereum which is a decentralized digital currency platform based on the cryptography, is open and transparent for the individual transaction. In order to prove the working of protocol, this design implemented is a web based voting software that runs through ReactJS which is a Javascript framework. The experimental implementation is limited to small-scale elections. The systems can run contracts with location and device isolation that ensures total privacy of voting. The cost of designing this architecture is incredibly less as compared to the cost of current paper/ballot based voting system. There are solid social benefits to using the system along with an easier and quicker voting process which will lead to higher voter count. This system can be implemented for most of the countries as the internet involvement in the world increases.

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Nowadays the researches all over the world are focusing on ways of utilizing either industrial or agricultural wastes as a source of raw materials for the construction industry. These wastes utilization would not only be economical, but may also help to create a sustainable and pollution free environment. Sugar-cane bagasse is one such fibrous waste-product of the sugar refining industry, along with ethanol vapour. And Shortage of good quality natural sand due to depletion of resources and limitation due to environmental considerations has made concrete manufacturers to look for suitable alternative fine aggregate. One such alternative is “manufactured sand”. Workability strength and durability of concrete with manufactured sand as replacement to natural sand in proportions of 10% constant, and the replacement of bagasse ash by 10%, 20%, 30% and 40% is studied. The experiment were conducted on M20 grade of concrete with the ratio of 1:1.5:3 of Cement, fine aggregates, coarse aggregates. Fresh concrete test like slump test and hardened concrete test like compressive strength and tensile strength test are conducted. The test results shows that the replacement of bagasse ash up to 30% with constant 10% replacement of M Sand can be considered.

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Due to rapid increase in the traffic volumes and pedestrian volumes, traffic-pedestrian conflicts have increased manifolds in last few decades. For enhancing the pedestrian safety and for providing necessary infrastructure, a clear understanding of pedestrian crossing behaviour under mixed traffic conditions is needed.

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Nanoscience and nanotechnology provide enormous opportunities to engineers the properties of materials by working in atomic or molecular level. It has not only facilitated to overcome many limitations of conventional materials, but also tremendously improved the mechanical, physical and chemical properties of the materials as well. Nanoscience has paved the way to tailor the properties of materials based on particular requirement by working in atomic or molecular level. In general, nanotechnology is not an isolated technology for certain purposes, but it is an enabling technology to achieve many goals by engineering a material at nano level. Similar to the fields like energy, medicine, electronics, etc., nanotechnology shows remarkable potentiality of its role to play by opening a new way to solve many of the perennial problems civil engineers do face every day. To develop high performance, multifunctional, ideal construction material, Cement composites with nano-additions have been vastly studied for their functional applications, such as strain and damage sensing. The capacity of a carbon nanofiber (CNF) cement paste has already been tested. However, this study is focused on the use of CNF cement composites as sensors in regular concrete samples. After reviewing various research papers, we found that carbon nano-fibre is a upcoming technology which is need to be used in construction. CNF with various percentages and its effect on the strength of structure is needed to be studied.

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It is a real challenge when we try to move through an unknown environment and can not rely on our own eyes. Visually impaired people face this problem every day of their lives. They usually rely on a walking stick for navigation. They use the walking stick to detect static obstacles on the ground, stairs, holes and uneven surfaces through simple tactile-force feedback. Though it is light and portable, its range is limited to its own size and is not suitable for dynamic components. This paper focuses on developing a Smart Walking Stick using the NodeMCU ESP32 to help the visually impaired people to walk more confidently by providing information about their environment. Ultrasonic sensors are used to detect obstacles, pits, and stairs that lie ahead and to alert them of the same, thereby reducing the amount of accidents while walking. Water sensing pins are used to detect wet surfaces. The stick is programmed to connect automatically to the Android phone using Wi-Fi for sending sensor data, for giving auditory feedback to the user and also for determining the best route to be taken to reach a new location by integrating GPS technology. If the stick is dropped accidently, the touch sensing pins send a signal to the buzzer which will help the user to locate it easily. SMS alert facility is also provided in case of emergency situations.

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Smart trolley envisions simplifying billing process by helping customers in creating a shopping session which lasts until the customer commands it to be cleared. This session maintains the data of each product in the basket by using RFID tags to make the entry. It also helps in keeping the shopping experience in budget by displaying the total cost to the customer. The existing system of billing includes a bar code reader which is very time consuming process. Hence there is a need of a system which eases the process of billing in shopping markets.

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Companies are trying to hunt the best talents to support their business. While traditional methods serves a better method of recruitment strategy and the managers are expecting to utilize the talents in every way (both internal & external). This article explains how the print media can acquire the talents from social media. This method ensures new ideas and new approaches with low cost sometimes no fee. The findings are obtained from data collected by questionnaires. This study elaborates how print media uses crowdsourcing to find innovative ideas and maintain their uniqueness.

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Pedestrian is one of the important component in urban transportation system and also vulnerable at unprotected mid-block locations under mixed traffic conditions. At unprotected mid-block locations, some of the vehicles may yield to pedestrians who are already at crosswalk location. However, some of the pedestrians are using forced gaps to cross the road. Hence, while pedestrians use the mid-block crosswalk with forced gaps, which decreases the vehicular flow characteristics. The pedestrian sidewalks do not show a direct effect on the vehicular flow characteristics when the pedestrian have pleasant walking facilities.

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Flood occurrences are the most hated environmental hazard around the world. This is due to floods threaten human life and furthermore affect the economy of the involved country. Floods are usually due to the season monsoon and heavy rains causing flash floods usually in urban area. Therefore, it is a must for researchers around the world to find a solution for this problem. A reliable and practical flood prediction model is in need to predict flood occurrence ahead of time. Thus, this paper proposes the modelling of flood prediction system using Extended NNARX (Neural Network Autoregressive with Exogenous Input) with EKF (Extended Kalman Filter). Various environmental parameters required for flood prediction such as temperature, humidity, water level, water quality are obtained by using various sensors. The data continuously obtained from these sensors are used to train the Extended NNARX model. The trained Extended NNARX model can predict the occurrence and non-occurrence of flood by taking the current climatic conditions as input and comparing it with the previous values. Weather prediction is also possible from the sensor readings. Alert notifications are sent to the authorities as well as the public whenever occurrence of flood is predicted. Public is also alerted through a buzzer. The sensor values and its graphical representation are displayed through a LCD and a monitor respectively that are placed at public locations so that the public will be aware of the current climatic conditions of their location in real time.

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An investigation on evaluation of water nature of Allahabad District was led for 400 nos. of tests which were gathered from 40 homes (5 zones) of twenty squares (two residences from every square). The 20 water quality parameters (physical and chemical), including pH, Turbidity, iron, fluoride, hardness, absolute alkalinity, and calcium, were investigated in the wake of bringing tests under controlled conditions from different, remotely set residences in the ecological building lab of the structural designing division. The outcomes were contrasted and the attractive furthest reach of specific parameters as prescribed by IS:10500 (2012). The outcomes demonstrated that the vast majority of the sources were observed to be polluted by pathogenic living beings according to MPN test. Normal observing of different area water quality is important to have a keep an eye on surface water contamination for solid living of human. Relationship coefficients were determined between various sets of parameters to distinguish the profoundly connected and interrelated water quality parameters.

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This paper focuses on parametric stress analysis of a lathe gear is been done in order to optimize the performance parameters of gear during subjected to static and dynamic loads. For this an comparative analysis has been carried out in order to investigate the performance of machine gear and a proposed composite gear. The bending stress, contact stress and contact ratio for a gear and several case studies are considered within the investigation.

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Object detection is a series of segments containing the features of interest, which are taken as pre-processing and widely applied in various vision tasks. Of these, face recognition is one of its major application. It is a computer vision technology related to the modern method called image processing that deals with identifying instances in the objects of a certain class such as humans that get resided in both images and videos. However, most of existing approaches only utilizes the proposals to compute the location; the aim is to propose a fastest algorithm for making the process as an efficient task. So the correlation procedure has been introduced in order to overcome these existing disadvantages. It is a highly accurate method in order to solve the optimization problems in the correlation filters, more specifically, filters called extended latent constrained correlation filters (LCCF) are proposed. Extended LCCF will maps the correlation filters to a given latent subspace that is created thereby establish a new learning framework. It will relate each pixel in the real time video that is given as the input and will extract the feature points by feature extraction method. The feature points will be stored in the subspace where it recreates using a newer algorithm called autopath algorithm. It will accurately detect the person in the video when it contains noises and occlusions. The extended LCCF method will outperform significantly better than other competing approaches.

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Earthquake resistant structures are kind of structures which are designed to protect buildings against collapsing due to effect of earthquake; while structure can be entirely immune to damage from earthquakes, the goal of earthquake-resistant construction is to erect structures that fare better during seismic activity than their conventional counterparts. According to various building codes, earthquake resistant Buildings are intend to with stand the largest earthquake of a certain probability that is likely to occur at their position. This means that the loss of people should be reduced or minimized by preventing collapse of the buildings for rare earthquakes while the loss of the functionality should be limited for more frequent ones. In this report, Base Isolation is used for the construction of earthquake resistant building. Base isolation is that type of system which decreases the effect of earthquake in terms of displacement, base shear and in many others terms. Base isolation system consists of isolators which are used to reduce the effects of earthquake. At present time, the magnitude of earthquake is very high. In this thesis report, we consider Seismic Zone-IV for G+14 building for the evaluation of Time period, base shear and displacement with considering 4 models in ETAB software i.e. fixed base and isolated base. Base isolation is type of method generally known as a-state of-the-art method in which the structure above ground level, the structure is separated from the base below ground level by introducing a suspension system between the main structure and the base. This phenomena Base isolation is popularly termed as seismic isolation system which is a collection of structural elements which should substantially decouple a structure above ground level from its structure below ground level resting on a shaking ground thus protecting the building’s structural integrity. The fundamental principle of this phenomena i.e. base isolation is to modify the response of the building so that the ground can shake below the building without transmitting these motions into the structure. Base isolation system deflects & absorbs the energy released from the earthquake before it is transferred to the structure.

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This application will be used to search for parking places to park their cars. It will save users valuable time and money. Reservation can be done earlier using the application. Users can also do early payment using the application by debit or credit cards or using any bank account. This is the kind of application which is used to park the cars only.

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Cryogenic is technology that every country wanted but due to its complex working and difficulty of handling of liquid propellant and oxidizer make it hard to develop. Only few countries have achieve and master this technology. Cryogenic engine follows the newtons third law of motion i.e; there is always equal and opposite reaction. Cryogenic engines have more efficiency than solid and liquid propellant. Every engine work only when it losses its heat but the whole concept of this engine is to loss heat and get output in the form of thrust. Nominal thrust of cryogenic engine is about 196.5 KN in vacuum with the specific impulse of 434 sec. All the cryogenic engine available follow some cycle for the operation basically there are four cycles which have discovered. Every engine have the basic component only difference in those engine are the flow of the fuel and the oxidizer in the engine. This technology is important because of that MTCR (Missile Technology Control Regime) restrict the use of cryogenic engine for missile manufacturing.

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In the present scenario a very large portion of energy is used for the air conditioning of the buildings which is the wastage of energy as it is required for cooling in summer and for heating in winters. So it is desired that we must use the renewable sources of energy for this purpose and geothermal energy may be one of the suitable energy source. Geothermal (or Geo-exchange) is a type of HVAC System (Heating, Venting, and Air-conditioning).The earth absorbs almost 50% of all solar energy and remains a nearly constant temperature of 10°C (50°F) depending on geographic location. Working with an underground loop system, a geothermal unit utilizes this constant temperature to exchange energy between the building and the earth as needed for heating and cooling. Geothermal is the most efficient Air-conditioning system because the ground temperature stays stable and has no regard for the above ground ambient temperature. A geothermal heat exchanger simply takes advantage of this low temperature energy source and sends it up to a usable level to cool the building. Geothermal Heat Exchanger draws energy out of the ground which stays relatively constant year round. This is typically an arrangement of pipes with selected piping material and loop design, buried in the ground. Soil temperature at a certain depth, adequate piping material, configuration and performance of the installed system evaluated experimentally. The temperature gradient of 15oC to 25oC on average has been achieved from the developed working model.

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Exhaust manifold is an important component in an exhaust system of engine. It connects to each exhaust port on the engines cylinder head, and it funnels the hot exhaust down into one simple exhaust pipe. With the help of the exhaust manifold gaskets, it also prevents the toxic exhaust fumes from sneaking into the vehicle and harming the occupants. This paper is related to design and finite element analysis of exhaust manifold of 4 cylinder diesel engine. Engine capacity is 5678cc. The finite element analysis in ANSYS software by using materials based on their composition viz. FG220MoCr and SG500/7. In FEA we find out the thermal as well as static structural properties material. Finally the results are validated through experimentation on tensile strength, Izod-Charpy impact testing, and Metallurgical Microscope.

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Aggregates, both fine and coarse are the most important components of concrete. The cost of these aggregates is on the increase. The waste glass disposal becoming a major issue for the communities worldwide. These factors are major thrusts of this study the investigation of crushed waste glass as partial replacement of fine aggregate in concrete, with a view to protecting the environment and also reducing the cost of concrete. The properties of concretes containing waste Glass Powder as partial substitution for natural sand were investigated in this study. Glass dust waste was used as a partial replacement for sand at 5%, 10%, 12% and 20% by weight for M-25 concrete mix. The concrete specimens were tested for, workability and compressive strength at 7 days and 28 days of age and the results obtained were compared with those of conventional concrete.

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In this paper we have discussed about internal combustion engine with compressed air. Nowadays large numbers of automobiles are running on road, and these uses petrol, diesel, gasoline, etc. as a fuel. We have discussed V-shape engine, in that one of cylinder work on air fuel mixture and another cylinder works on compressed air, so that engine economy will be increased, that reduce pollution also increase mileage of our automobile. This will have beneficial for future automotive world and can run long lasting with minimum fuel source.

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To overcome the drawbacks of existing filters for salt and pepper noises, an adaptive probability filter is proposed. For an image, it detects salt and pepper noises based on the characteristic of minimum and maximum intensity values of the images, as well as the distribution of noise. If the noise-free intensities in neighbourhood repeat with a certain probability, the noise-free intensity with highest repeated frequency is used to remove noise based on the statistical significance; otherwise, the median of noise-free pixels in neighbourhood is used to remove noise. Experiments show that the proposed method is capable of detecting noise more accurately and perform much better than the existing distinguished filters in terms of peak-signal-to-noise ratio, image enhancement factor, and visual representation at all the noise densities.

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